Image Transmission System Device-Specific Resolution Selection
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Solution Overview
Problem
Conventional approaches to transmitting images are inefficient due to the need to send full-resolution images, which require significant data and are not optimized for device capabilities, leading to data storage inefficiencies and suboptimal user experiences, especially in devices with limited resources or poor network conditions.
Innovation Solution
The system stores a set of image portions at a specified resolution and selects a subset based on client device properties, such as resolution and location, to transmit only what is necessary for optimal display quality, reducing data transfer and storage requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If full-resolution images are transmitted to all devices, then image quality is maintained, but data transmission volume increases significantly
Solution Approach 1:
The image is divided into multiple resolutions or quality levels, and only the appropriate segment is transmitted to each device based on its capabilities. This allows the system to maintain image quality for capable devices while reducing data transmission for devices with limited display capabilities.
Solution Approach 2:
Different quality levels of images are provided to different devices based on their specific capabilities. Each device receives an image quality that is locally optimized for its display characteristics, rather than universally receiving the same full-resolution image.
2Adaptability or versatility
If multiple versions of images are stored for different devices, then device-specific optimization is achieved, but data storage efficiency decreases
Solution Approach 1:
A single image storage location serves multiple devices with different capabilities. The system universally stores one version of the image that can be adaptively served to various devices, eliminating the need for multiple separate storage locations for different image versions.
Solution Approach 2:
The system changes parameters such as resolution or quality level of the transmitted image based on device capabilities, rather than storing multiple physical versions. This allows the same stored image to be delivered in different parameter configurations to meet diverse device requirements.
3Loss of information
If full-resolution images are transmitted, then detailed information is preserved, but network bandwidth consumption increases
Solution Approach 1:
The system transmits only the necessary portion of image detail required for each device, rather than always transmitting the complete full-resolution image. This partial action approach maintains sufficient image detail for the device's display capabilities while reducing unnecessary bandwidth consumption.
4Ease of operation
If images are optimized for specific devices, then user experience improves, but system complexity increases
Solution Approach 1:
The system automatically detects device capabilities and selects the appropriate image version without requiring manual intervention or complex configuration. This self-service approach improves user experience through device-specific optimization while keeping system complexity manageable through automated decision-making.
Data Source
AI summary
Systems, methods, and non-transitory computer-readable media can store a set of image portions that forms an image at a specified resolution. A request for the image can be acquired from a client device. The request can include information about one or more properties associated with the client device. A subset of image portions can be selected out of the set of image portions based on the one or more properties associated with the client device. The subset of image portions can be transmitted to the client device in response to the request.